For 32 bit systems using 64bit instead of size_t would similarly solve the problem.
Conceptually, a 64-bit kernel today could allow your program to allocate (almost) the entire 64-bit address space, assuming it does memory overcommit (like Linux) and/or uses some kind of memory compression (like Linux supports as well).
There might be some MMU limitations on today's mainstream systems, but this doesn't mean that all 64-bit systems have those limitations or that those limitations will remain there in the future.
So your code would break as soon as a new system comes along without those limitations.
Also, this would be even more true if the code and stack would be stored in different address spaces, as theoretically that would even allow you to allocate the entire address space, I think.
A 48-bit index to an array can represent >240TBytes of RAM minimum - if your records are > 1 byte, you have significantly higher storage requirements. The largest system I could find that’s ever been built was a prototype that has ~160TiB of RAM [1]. Also remember. To make the algorithm incorrect, the sum of two numbers has to exceed 64bits - that means you’d need >63-bits of byte-addressable space. That just simply isn’t happening.
Now of course you might be searching through offline storage. 2^63 bits is ~9 exabytes of an array where each element is 1 byte. Note that now we’re talking scales of about about the aggregate total storage capacity of a public hyperscaled cloud. Your binary search simply won’t even finish.
So sure. You’re technically right except you’d never find the bug on any system that your algorithm would ever run on for the foreseeable future, so does it even matter?
As an aside, at the point where you’re talking about 48-bits worth of addressable bytes you’re searching, you’re choosing a different algorithm because a single lookup is going to take on the order of hours to complete. 63-bits is going to take ~27 years iff you can sustain 20gib/s for comparing the keys (sure binary search is logarithmic but then you’re not going to be hitting 20gib/s). Remember - data doesn’t come presorted either so simply getting all that data into a linearly sorted data structure is similarly impractical.
"Today" being the important part. That could change tomorrow. I could implement a 64-bit CPU right now that would support it (on an FPGA). It's not an inherent limitation, it's just an optimization that current CPUs do because we don't need to use the full 64-bit address space, usually.
Also, address space doesn't necessarily correspond 1-to-1 with how much memory there is.
For example, according to the AddressSanitizer whitepaper, it dedicates 1/8th of the virtual address space to its shadow memory. It doesn't mean that you need to have 2 exabytes of addressable storage to use AddressSanitizer, or that it reads or writes to all that space.
As I said, memory overcommit and memory compression (and also page mapping in general, as well as memory mapping storage and storage compression and storage virtualization, etc) allow you to address significantly more memory (almost infinitely more) than what you actually have.
There are other tricks with memory, page mapping and pointers which could break your code if it's not standards-compliant. This could happen for security reasons or because of new compiler or kernel optimizations or new features.
So I agree that this isn't a problem right now, unless you're doing something very esoteric, but if you want to have standards-compliant code and be more future-proof then you cannot rely on that.
There is also the point that the Go code that we're discussing has nothing to do with arrays, memory or address spaces, because it's a generic binary search function that works for any function "f" passed as an argument.
For example, it can be used to do a binary search for finding the zero of a mathematical function (i.e. for finding which value of `x` results in `y` becoming zero in the equation `y=f(x)`) and this has nothing to do with address spaces.
You’re hand waving away way too much complexity. Please do build this system. Keep in mind that addressing 63bits of memory with huge tables on will use up > 2 Tera worth of PTEs which translate to what, 16 Terabit worth of memory? This is simply an order of magnitude more than dedicated machines ship with. You’re certainly not getting an FPGA with that.
> For example, according to the AddressSanitizer whitepaper, it dedicates 1/8th of the virtual address space to its shadow memory. It doesn't mean that you need to have 2 exabytes of addressable storage to use AddressSanitizer, or that it reads or writes to all that space.
I think you’re failing to appreciate how large 2^63 bytes is.
> As I said, memory overcommit and memory compression (and also page mapping in general, as well as memory mapping storage and storage compression and storage virtualization, etc) allow you to address significantly more memory (almost infinitely more) than what you actually have.
See point above. Such a system is just not likely to exist in your lifetime.
> but if you want to have standards-compliant code and be more future-proof then you cannot rely on that.
All code has a shelf life. What’s the date you’re working on here? I’m willing to bet it’s not an issue by the end of this century.
~~C does not guarantee a 64 bit type exists.~~ This is not really correct these days.
Isn't (signed/unsigned) 'long long int' mandatory since C99?
It says: 'There are five standard signed integer types, designated as signed char, short int, int, long int, and long long int'.
My cursory search for 'long long' in the standard didn't find anything about it being optional...
